Other recordset operations
Recordsets are iterable(可迭代的) so the usual Python tools are available for transformation (map(), sorted(), ifilter(), ...) however these return either a list or an iterator, removing the ability(能力) to call methods on their result, or to use set operations.
Recordsets therefore provide these operations returning recordsets themselves (when possible):
filtered()-
returns a recordset containing only records satisfying the provided predicate function(判定函数). The predicate can also be a string to filter by a field being true or false:
# only keep records whose company is the current user's records.filtered(lambda r: r.company_id == user.company_id) # only keep records whose partner is a company records.filtered("partner_id.is_company")
sorted()-
returns a recordset sorted by the provided key function. If no key is provided, use the model's default sort order:
# sort records by name records.sorted(key=lambda r: r.name)
mapped()-
applies the provided function to each record in the recordset, returns a recordset if the results are recordsets:
# returns a list of summing two fields for each record in the set records.mapped(lambda r: r.field1 + r.field2)
The provided function can be a string to get field values:
# returns a list of names records.mapped('name') # returns a recordset of partners record.mapped('partner_id') # returns the union of all partner banks, with duplicates removed record.mapped('partner_id.bank_ids')